Mapbox Minsk R&D center (OOO MapData) enables navigation for people, packages, and vehicles. Our underlying maps represent the ever-evolving world, accessing, aggregating, and adapting anonymous data from millions of sensors and phones in real-time.
What You'll Do
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You will validate and edit large volumes of data, create various content for our map and navigation services and products.
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You will annotate images in specialized tools and editors for creating machine learning (ML) training data in big volumes.
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You will detect and mark different objects on images according to needed requirements.
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You will analyze, classify, and sort large volumes of data (e.g., up to several tens of thousands of images or map features per week).
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You will make cartographic edits in OpenStreetMap or contribute to enrichment of map data by using specialized tools.
What We Believe are Important Traits for This Role
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Proficiency in English, ability to communicate clearly in written and verbal communication, and ability to read and write documentation (A2+ and above). Please, indicate the level of English proficiency in your CV.
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Ability to execute monotonous work in large volumes on a high level of personal efficiency.
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Ability to stay focused on repetitive work during a working day, keeping high quality and accuracy of data processing.
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Presence of logic, ability to reason, and ability to act independently.
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Analytical mindset and ability to identify common patterns in large volumes of information.
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Resistant to stress in a rapidly changing situation.
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A quick learner, ability to switch between projects with different workflows or instructions, and multitasking.
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Ability to work in a team and high communicative skills.
Welcomed
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General knowledge of traffic rules for qualitative analysis of traffic situations and modeling driver behavior or use cases (ideally, a driving license or completed driving school).
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Understanding OpenStreetMap service and an interest in cartography (if you have an account with OSM edits, please specify in your CV).
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Experience working in GIS, cartography, or geodesy.
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Experience working in the IT sphere or completed IT-courses for understanding communication culture and processes in high-technology international companies.
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Interest in developing their skills and expanding their competencies within the working domain.
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